lIlIlIlIlIl — CS2 Stats

76561198300775262[U:1:340509534]✓ No bans

3,897Tracked matches37%Win rate2023Tracked since

CSDB Rating6.6 SolidAggressive Rifler

FaceitLevel 10 · 2,891 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning66

Utility67

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLWWLLWLLLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.3

Aggression8.5

Utility6.7

Positioning6.6

Opening Duels5.0

Clutch3.0

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like jL 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.8° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 64% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.3

Positioning6.6

Utility6.7

Mechanics7.4

Opening Duels5.0

Win Impact0.6

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time547ms−23ms

first ⅓ avg 570ms → last ⅓ avg 547ms

Headshot accuracy24.0%+3.4%

first ⅓ avg 20.6% → last ⅓ avg 24.0%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.26Best rating — anubis 13–1

13–0Biggest win — dust2

5Longest win streak

4–12In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 63% over 8mirageWeakest map · 33% over 24

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	24	8–16	33%	0.01
ancient	B	21	11–10	52%	0.03
dust2	A	20	11–9	55%	0.04
anubis	D	12	4–8	33%	0.02
nuke	A	8	5–3	63%	0.08
overpass	A	7	4–3	57%	0.04
inferno	—	4	2–2	50%	0.05
cache	—	2	2–0	100%	0.01
vertigo	—	1	0–1	0%	0.07
train	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,707Matches

52%Win rate

1.20Avg K/D

80.0ADR

53%Headshot %

Clutches & streaks

35%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	636	53%	1.18	17.0
Mirage	565	50%	1.15	16.5
Anubis	378	48%	1.12	16.8
Nuke	298	58%	1.33	17.2
Vertigo	209	53%	1.26	18.1
Dust2	184	50%	1.10	16.0
Inferno	143	48%	1.24	17.1
Overpass	90	50%	1.14	17.8

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.6%Headshot accuracy

38.0%Accuracy (enemy spotted)

40.5%Spray accuracy

83.1%Counter-strafing

11.8°Preaim

533msReaction time

36.3%T opening success

63.5%CT opening success

0.62Enemies flashed / flash

9.5%Flash assists

8.27HE damage / grenade

16.19Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 36.3496% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	19–22	0.03	22%	16 Aug →
dust2	13–4	0.11	29%	16 Aug →
mirage	13–6	0.02	20%	12 Aug →
nuke	1–2	0.23	40%	12 Aug →
anubis	10–13	-0.04	19%	12 Aug →
cache	13–8	-0.03	36%	10 Aug →
dust2	9–13	-0.00	36%	10 Aug →
mirage	9–13	0.06	23%	10 Aug →
inferno	11–13	0.04	27%	10 Aug →
ancient	10–13	0.12	23%	10 Aug →
mirage	11–13	0.01	24%	6 Aug →
dust2	7–13	0.01	25%	28 Jul →
dust2	10–13	0.07	24%	28 Jul →
ancient	13–8	0.14	24%	28 Jul →
ancient	9–13	-0.05	20%	26 Jul →
dust2	13–5	0.13	16%	26 Jul →
dust2	9–13	-0.00	17%	26 Jul →
mirage	13–7	0.01	26%	26 Jul →
mirage	5–13	-0.07	11%	22 Jul →
mirage	7–13	-0.01	20%	21 Jul →
ancient	13–10	-0.02	24%	21 Jul →
nuke	13–10	0.08	29%	19 Jul →
mirage	14–16	0.07	27%	16 Jul →
nuke	13–8	0.01	17%	16 Jul →
anubis	13–8	0.05	24%	16 Jul →
ancient	13–2	0.15	24%	16 Jul →
dust2	7–13	-0.02	27%	23 Jun →
mirage	4–13	-0.06	41%	24 May →
mirage	17–19	-0.02	17%	21 May →
ancient	10–13	-0.03	16%	21 May →
cache	16–13	0.05	27%	9 May →
dust2	13–8	0.15	18%	21 Apr →
ancient	13–9	-0.00	19%	20 Apr →
anubis	13–11	-0.00	23%	18 Apr →
ancient	13–11	0.01	35%	11 Apr →
anubis	11–13	-0.01	13%	2 Apr →
mirage	13–16	-0.00	17%	26 Mar →
anubis	8–13	-0.04	12%	26 Mar →
mirage	13–9	-0.01	22%	26 Mar →
dust2	13–4	0.08	41%	25 Mar →
ancient	13–11	-0.01	20%	23 Mar →
mirage	13–8	-0.00	18%	23 Mar →
mirage	9–13	0.07	16%	20 Mar →
mirage	13–7	0.03	19%	20 Mar →
ancient	8–13	-0.00	11%	20 Mar →
anubis	13–1	0.26	29%	20 Mar →
ancient	11–13	0.09	19%	19 Mar →
anubis	21–25	0.04	23%	18 Mar →
ancient	9–13	0.09	27%	15 Mar →
vertigo	3–7	0.07	44%	13 Mar →
anubis	11–13	0.00	21%	9 Mar →
nuke	13–8	0.03	21%	9 Mar →
overpass	8–8	0.05	22%	8 Mar →
nuke	6–9	0.08	23%	8 Mar →
inferno	9–4	0.12	50%	8 Mar →
mirage	13–10	0.01	20%	6 Mar →
nuke	8–13	0.07	26%	6 Mar →
inferno	13–6	0.03	28%	6 Mar →
mirage	8–13	0.06	13%	6 Mar →
dust2	12–0	0.12	38%	6 Mar →
ancient	13–10	0.03	16%	6 Mar →
overpass	13–7	0.04	22%	4 Mar →
dust2	1–13	-0.10	7%	2 Mar →
anubis	13–16	-0.05	23%	1 Mar →
ancient	13–7	0.01	21%	28 Feb →
dust2	13–3	0.10	36%	5 Feb →
dust2	10–13	-0.02	16%	3 Feb →
dust2	9–13	-0.05	14%	27 Jan →
ancient	7–13	-0.04	15%	25 Jan →
mirage	13–6	0.00	17%	23 Jan →
overpass	14–16	0.03	23%	21 Jan →
anubis	6–13	-0.03	12%	19 Jan →
anubis	13–8	0.03	21%	19 Jan →
dust2	13–3	0.00	28%	18 Jan →
overpass	8–13	0.00	23%	18 Jan →
ancient	14–16	0.05	30%	16 Jan →
inferno	11–13	0.03	14%	11 Jan →
mirage	8–13	0.01	18%	11 Jan →
nuke	16–14	0.08	17%	11 Jan →
ancient	10–13	-0.05	13%	11 Jan →
dust2	13–2	0.06	35%	11 Jan →
mirage	0–13	0.03	20%	4 Jan →
overpass	13–4	0.14	20%	4 Jan →
mirage	12–16	0.02	32%	4 Jan →
ancient	13–7	0.07	15%	3 Jan →
ancient	13–9	0.02	22%	3 Jan →
train	9–13	-0.04	18%	3 Jan →
overpass	13–5	-0.04	29%	2 Jan →
overpass	13–7	0.08	23%	2 Jan →
dust2	13–3	0.08	24%	2 Jan →
nuke	13–10	0.02	17%	2 Jan →
ancient	11–13	-0.01	9%	2 Jan →
dust2	8–13	0.02	14%	2 Jan →
mirage	13–7	0.01	31%	2 Jan →
ancient	13–4	0.05	19%	2 Jan →
dust2	13–0	0.08	29%	2 Jan →
dust2	13–3	0.00	16%	1 Jan →
mirage	10–13	-0.01	15%	1 Jan →
mirage	15–15	0.04	29%	1 Jan →
mirage	5–13	0.02	21%	1 Jan →